A dataset for evaluating one-shot categorization of novel object classes

<p>From just a single example, we can derive quite precise intuitions about what other class members look like.&nbsp; This stands in stark contrast to machine learning algorithms, which typically require tens or even hundreds of thousands of examples to learn a new category.&nbsp; One of the most important open questions in our field is: How do humans achieve this? The stimuli and data provided here (in MATLAB format) are from thousands of crowd-sourced human responses to novel objects. &nbsp; The data can be used to test machine learning generalization as compared to human and also can be used as a test bed for various kinds of category learning models.&nbsp;</p>